{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:UV6RAH6GWXA2LIG7FZ2K73ZLB6","short_pith_number":"pith:UV6RAH6G","canonical_record":{"source":{"id":"1308.6297","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2013-08-28T20:13:32Z","cross_cats_sorted":[],"title_canon_sha256":"e43d0d179e44ce444d497d6d2d138d2247959e1940b487cb15d58f603721b934","abstract_canon_sha256":"ff995b0d2db9cf9851788232e9ab678155e9d16fdd48f5043d77971aa70341b4"},"schema_version":"1.0"},"canonical_sha256":"a57d101fc6b5c1a5a0df2e74afef2b0fb07ba0e86463d66eb1819378dab329f1","source":{"kind":"arxiv","id":"1308.6297","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1308.6297","created_at":"2026-05-18T03:14:40Z"},{"alias_kind":"arxiv_version","alias_value":"1308.6297v1","created_at":"2026-05-18T03:14:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1308.6297","created_at":"2026-05-18T03:14:40Z"},{"alias_kind":"pith_short_12","alias_value":"UV6RAH6GWXA2","created_at":"2026-05-18T12:28:02Z"},{"alias_kind":"pith_short_16","alias_value":"UV6RAH6GWXA2LIG7","created_at":"2026-05-18T12:28:02Z"},{"alias_kind":"pith_short_8","alias_value":"UV6RAH6G","created_at":"2026-05-18T12:28:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:UV6RAH6GWXA2LIG7FZ2K73ZLB6","target":"record","payload":{"canonical_record":{"source":{"id":"1308.6297","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2013-08-28T20:13:32Z","cross_cats_sorted":[],"title_canon_sha256":"e43d0d179e44ce444d497d6d2d138d2247959e1940b487cb15d58f603721b934","abstract_canon_sha256":"ff995b0d2db9cf9851788232e9ab678155e9d16fdd48f5043d77971aa70341b4"},"schema_version":"1.0"},"canonical_sha256":"a57d101fc6b5c1a5a0df2e74afef2b0fb07ba0e86463d66eb1819378dab329f1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:14:40.364507Z","signature_b64":"05ef4BiWopOjpVZtFdODVOFo0KBj1wRbtDV9jG22fXGHBMLL5q+UGyzrOm/stM+IOlsZNzEdN4b0Nso90eCrCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a57d101fc6b5c1a5a0df2e74afef2b0fb07ba0e86463d66eb1819378dab329f1","last_reissued_at":"2026-05-18T03:14:40.363762Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:14:40.363762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1308.6297","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:14:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GhuwCECWfcYu33//vzj9ydoiSEnZV/nXTfyMUZlUlCT9SqjC3yNT/42XVhiF2/SwHc+X0TYajMOq++rKLfypDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T12:59:54.024091Z"},"content_sha256":"bd6b97ddbb1d31cd31e3e2e3ba9d18a0e5f8b09f4d1113bd0d2f091fbfbd69d6","schema_version":"1.0","event_id":"sha256:bd6b97ddbb1d31cd31e3e2e3ba9d18a0e5f8b09f4d1113bd0d2f091fbfbd69d6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:UV6RAH6GWXA2LIG7FZ2K73ZLB6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Crowdsourcing a Word-Emotion Association Lexicon","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Peter D. Turney, Saif M. Mohammad","submitted_at":"2013-08-28T20:13:32Z","abstract_excerpt":"Even though considerable attention has been given to the polarity of words (positive and negative) and the creation of large polarity lexicons, research in emotion analysis has had to rely on limited and small emotion lexicons. In this paper we show how the combined strength and wisdom of the crowds can be used to generate a large, high-quality, word-emotion and word-polarity association lexicon quickly and inexpensively. We enumerate the challenges in emotion annotation in a crowdsourcing scenario and propose solutions to address them. Most notably, in addition to questions about emotions ass"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1308.6297","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:14:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pRpMrEaqPXh1imK9AO8D6+QzyOStgFDAg1owNrrcudWtyo/0ZhZv1aRyYeIsGO0jS9sTEy3JFoHYeCX2RlC0Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T12:59:54.024625Z"},"content_sha256":"fb9721e38e6297c236b9a928ecc4dc9028b5387101c39edbc8535c3a4775517f","schema_version":"1.0","event_id":"sha256:fb9721e38e6297c236b9a928ecc4dc9028b5387101c39edbc8535c3a4775517f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UV6RAH6GWXA2LIG7FZ2K73ZLB6/bundle.json","state_url":"https://pith.science/pith/UV6RAH6GWXA2LIG7FZ2K73ZLB6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UV6RAH6GWXA2LIG7FZ2K73ZLB6/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-31T12:59:54Z","links":{"resolver":"https://pith.science/pith/UV6RAH6GWXA2LIG7FZ2K73ZLB6","bundle":"https://pith.science/pith/UV6RAH6GWXA2LIG7FZ2K73ZLB6/bundle.json","state":"https://pith.science/pith/UV6RAH6GWXA2LIG7FZ2K73ZLB6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UV6RAH6GWXA2LIG7FZ2K73ZLB6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:UV6RAH6GWXA2LIG7FZ2K73ZLB6","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ff995b0d2db9cf9851788232e9ab678155e9d16fdd48f5043d77971aa70341b4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2013-08-28T20:13:32Z","title_canon_sha256":"e43d0d179e44ce444d497d6d2d138d2247959e1940b487cb15d58f603721b934"},"schema_version":"1.0","source":{"id":"1308.6297","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1308.6297","created_at":"2026-05-18T03:14:40Z"},{"alias_kind":"arxiv_version","alias_value":"1308.6297v1","created_at":"2026-05-18T03:14:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1308.6297","created_at":"2026-05-18T03:14:40Z"},{"alias_kind":"pith_short_12","alias_value":"UV6RAH6GWXA2","created_at":"2026-05-18T12:28:02Z"},{"alias_kind":"pith_short_16","alias_value":"UV6RAH6GWXA2LIG7","created_at":"2026-05-18T12:28:02Z"},{"alias_kind":"pith_short_8","alias_value":"UV6RAH6G","created_at":"2026-05-18T12:28:02Z"}],"graph_snapshots":[{"event_id":"sha256:fb9721e38e6297c236b9a928ecc4dc9028b5387101c39edbc8535c3a4775517f","target":"graph","created_at":"2026-05-18T03:14:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Even though considerable attention has been given to the polarity of words (positive and negative) and the creation of large polarity lexicons, research in emotion analysis has had to rely on limited and small emotion lexicons. In this paper we show how the combined strength and wisdom of the crowds can be used to generate a large, high-quality, word-emotion and word-polarity association lexicon quickly and inexpensively. We enumerate the challenges in emotion annotation in a crowdsourcing scenario and propose solutions to address them. Most notably, in addition to questions about emotions ass","authors_text":"Peter D. Turney, Saif M. Mohammad","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2013-08-28T20:13:32Z","title":"Crowdsourcing a Word-Emotion Association Lexicon"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1308.6297","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:bd6b97ddbb1d31cd31e3e2e3ba9d18a0e5f8b09f4d1113bd0d2f091fbfbd69d6","target":"record","created_at":"2026-05-18T03:14:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ff995b0d2db9cf9851788232e9ab678155e9d16fdd48f5043d77971aa70341b4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2013-08-28T20:13:32Z","title_canon_sha256":"e43d0d179e44ce444d497d6d2d138d2247959e1940b487cb15d58f603721b934"},"schema_version":"1.0","source":{"id":"1308.6297","kind":"arxiv","version":1}},"canonical_sha256":"a57d101fc6b5c1a5a0df2e74afef2b0fb07ba0e86463d66eb1819378dab329f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a57d101fc6b5c1a5a0df2e74afef2b0fb07ba0e86463d66eb1819378dab329f1","first_computed_at":"2026-05-18T03:14:40.363762Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:14:40.363762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"05ef4BiWopOjpVZtFdODVOFo0KBj1wRbtDV9jG22fXGHBMLL5q+UGyzrOm/stM+IOlsZNzEdN4b0Nso90eCrCA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:14:40.364507Z","signed_message":"canonical_sha256_bytes"},"source_id":"1308.6297","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd6b97ddbb1d31cd31e3e2e3ba9d18a0e5f8b09f4d1113bd0d2f091fbfbd69d6","sha256:fb9721e38e6297c236b9a928ecc4dc9028b5387101c39edbc8535c3a4775517f"],"state_sha256":"fb17b73e51980820dbc6558fff92581be25c3308ed65f74f26b14827f6897ee5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tm9rL047pPbwr8wD/mCY02clDdL23gGMNHROMIKmOjslPi4LqaQ32AoYNYwXH2Yz4yIqjHBHa3tGhhzT6E46Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T12:59:54.028412Z","bundle_sha256":"fc5cfe4dcdee88dd5109db6e1003ca020b7ba0762c82ca5297c5a7a98c52ca56"}}